Senior Lead AI Engineer, AI Foundations, VLM Customization

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California (MO)

On-site

USD 180,000 - 240,000

Full time

2 days ago

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Job summary

Capital One is seeking an accomplished AI software leader to design, build, and deploy scalable AI systems. You will work across teams to deliver production-grade AI features, model evaluation, and governance while advancing the long-term AI strategy.

This role emphasizes building robust, cost-efficient, and observable AI solutions in a cloud environment. The position requires deep expertise in LLMs, NLP, and software engineering, with hands-on experience in Python and other languages.

Qualifications

Bachelor's degree in CS/AI/EE/CE or related field with 6+ years of AI/ML experience, or Master's with 4+ years.
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Responsibilities

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.

Skills

AI Software Development

Large Language Model Inference

Python Programming

Cloud Platform Deployment

Team Leadership

C++ Programming

Java Programming

Go Programming

Excellent Communication

Presentation Skills

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in those fields

Tools

AWS Ultraclusters

Hugging Face

PyTorch

VectorDBs

NeMo Guardrails

Job description

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products

Design, develop, test, deploy, and support AI software components

Work on foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability

Leverage open-source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch

Invent and introduce state-of-the-art LLM optimization techniques

Improve scalability, cost, latency, and throughput of large-scale production AI systems

Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in those fields plus at least 4 years of such experience

At least 6 years of experience programming with Python, Go, Scala, or Java

7 years of experience deploying scalable and responsible AI solutions on cloud platforms preferred

Experience designing, developing, integrating, delivering, and supporting complex AI systems preferred

Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders preferred

Experience developing AI and ML algorithms or technologies, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory, using Python, C++, C#, Java, or Golang preferred

Experience developing and applying state-of-the-art techniques for optimizing training and inference software preferred

Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production preferred

Excellent communication and presentation skills preferred

Core Competencies

Demonstrates expertise in developing and deploying AI-powered solutions, with a strong focus on large language model optimization, scalability, and cloud-based AI systems. Proven ability to lead engineering teams and influence cross-functional collaboration while staying current with AI research and technologies.

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